dictation

Correct speech-to-text errors in gh-aw documentation and workflow files.

4.9k|489|Updated Aug 12, 2025
One-click install
npx skills add https://github.com/githubnext/gh-aw --skill dictation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dictation
Source: https://github.com/githubnext/gh-aw/tree/main/skills/dictation
Command: npx skills add https://github.com/githubnext/gh-aw --skill dictation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates text-to-speech errors in dictated prompts for GitHub Agentic Workflows, ensuring accuracy and reducing manual correction time for users communicating with AI agents. It helps users create precise instructions for AI without typing.

Core Features & Use Cases

  • Project Glossary: Access a comprehensive list of project-specific terms to ensure correct usage.
  • Error Correction Guide: Learn to replace common speech-to-text ambiguities (e.g., "ghaw" to "gh-aw", "work flow" to "workflow") with correct technical terms.
  • Accurate Prompt Creation: Follow guidelines to ensure dictated prompts are clear, precise, and understood by AI agents.
  • Use Case: A user dictates a complex prompt for an AI agent. This skill helps them quickly identify and correct common dictation errors like "safe outputs" to "safe-outputs", ensuring the AI understands the instruction correctly.

Quick Start

Consult the dictation skill to correct 'work flow' to 'workflow' and 'front matter' to 'frontmatter' in your dictated AI prompt.

Frequently Asked Questions about dictation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fix speech-to-text errors in AI workflow prompts?

Speech-to-text errors in dictated prompts can be corrected by consulting a project glossary to replace common mis-transcriptions—like 'ghaw' to 'gh-aw', 'work flow' to 'workflow', or 'front matter' to 'frontmatter'—ensuring AI agents receive precise instructions without manual retyping.

What are common dictation mistakes in technical documentation?

Common dictation mistakes include hyphenation errors (workflow vs. work flow), compound terms (safe-outputs vs. safe outputs), and abbreviation inconsistencies (gh-aw vs. ghaw). Correcting these ensures terminology accuracy across documentation, issues, and workflow files.

Can I use dictation to create accurate AI agent prompts?

Yes, dictation works for creating AI agent prompts when you apply glossary-based corrections and frontmatter-aware mappings to eliminate speech-to-text ambiguities, reducing manual correction time while maintaining markdown structure and terminology consistency.

How do I standardize terminology across dictated content?

Standardize terminology by mapping common mis-transcriptions to exact glossary terms and applying consistent frontmatter conventions across documentation, pull requests, and workflow files, ensuring all dictated content meets project terminology requirements.

What's the fastest way to correct multiple dictation errors in prompts?

Use an error correction guide targeting common speech-to-text ambiguities and apply batch glossary mappings to replace mis-transcriptions at scale, eliminating the need to manually correct each error individually across documentation and workflow files.